# SET INPUT AND OUTPUT PATH
# Using function here() wil provide path to the OCR_Pipeline(package) folder on your computer,
# the input and output separate folers are in "/OCR_Pipeline/Data".
# Recomend to move the result to different folder before every analysis.
#
# To choose different folder in your coputer as I/O folder write entire Path to the folder.
INPUT_PATH <- here('/Data/INPUT')
OUTPUT_PATH <- here('/Data/OUTPUT')
Removed outliars in each iteration:
## 1 Well outliares: 798 -- 10.37037 %
## 2 Well outliares: 161 -- 2.092268 %
## 3 Well outliares: 71 -- 0.9226771 %
## 4 Well outliares: 9 -- 0.1169591 %
## 5 Well outliares: 0 -- 0 %
## 1 Point outliares: 229 -- 3.538866 %
## 2 Point outliares: 79 -- 1.220831 %
## 3 Point outliares: 27 -- 0.4172462 %
## 4 Point outliares: 12 -- 0.1854427 %
## 5 Point outliares: 7 -- 0.1081749 %
## 6 Point outliares: 3 -- 0.04636069 %
## 7 Point outliares: 1 -- 0.01545356 %
## 8 Point outliares: 0 -- 0 %
## Tolat well outliars: 13.83489 %
## Tolat single point outliars: 4.766977 %
TO DO: convert graph to aditive add legends
All estimates are Log transformed
| Int1 | Int2 | Int3 | Int4 | Int5 | Sample |
|---|---|---|---|---|---|
| 4.096 | 3.136 | 4.959 | 2.870 | 3.159 | 24-post-0 |
| 2.913 | 1.739 | 3.425 | 1.641 | 1.770 | 24-pre-1 |
| 4.078 | 3.088 | 5.162 | 2.962 | 3.119 | 31 post-2 |
| 4.824 | 3.900 | 6.185 | 3.633 | 3.869 | 42 pre-2 |
| 3.493 | 2.512 | 4.417 | 2.274 | 2.407 | 33-pre-3 |
| 3.939 | 2.891 | 4.741 | 2.869 | 2.916 | 34-post-4 |
| 3.376 | 2.460 | 3.982 | 2.051 | 2.412 | 34-pre-5 |
| 3.696 | 2.920 | 4.638 | 2.745 | 2.794 | S-36pre-6 |
| 3.633 | 2.803 | 4.509 | 2.663 | 2.688 | S-43pre-6 |
| 3.605 | 2.682 | 4.400 | 2.481 | 2.591 | 36-pre-7 |
| 3.592 | 2.481 | 4.677 | 2.393 | 2.563 | 39-post-8 |
| 3.586 | 2.409 | 4.564 | 2.428 | 2.571 | 39-pre-9 |
| 3.000 | 1.586 | 3.949 | 1.559 | 1.925 | 42 post-10 |
| 3.447 | 2.529 | 3.911 | 1.872 | 3.022 | #46 pre-10 |
| 3.839 | 2.893 | 4.616 | 2.800 | 2.895 | 43 post-11 |
| 3.761 | 2.937 | 4.051 | 2.782 | 3.565 | 49 pre-11 |
| 3.981 | 2.972 | 4.886 | 2.708 | 2.960 | 46 post-12 |
| 3.792 | 2.753 | 4.792 | 2.339 | 2.899 | 40 pre-12 |
| 3.555 | 2.763 | 4.378 | 2.942 | 2.929 | 49-post-13 |
| Int1 | Int2 | Int3 | Int4 | Int5 | Sample |
|---|---|---|---|---|---|
| 0.012 | 0.016 | 0.020 | 0.015 | 0.028 | 24-post-0 |
| 0.018 | 0.024 | 0.029 | 0.023 | 0.031 | 24-pre-1 |
| 0.009 | 0.011 | 0.015 | 0.011 | 0.016 | 31 post-2 |
| 0.011 | 0.014 | 0.019 | 0.014 | 0.018 | 42 pre-2 |
| 0.016 | 0.022 | 0.027 | 0.020 | 0.029 | 33-pre-3 |
| 0.016 | 0.021 | 0.027 | 0.020 | 0.029 | 34-post-4 |
| 0.041 | 0.053 | 0.068 | 0.052 | 0.066 | 34-pre-5 |
| 0.017 | 0.022 | 0.026 | 0.020 | 0.032 | S-36pre-6 |
| 0.025 | 0.031 | 0.053 | 0.030 | 0.041 | S-43pre-6 |
| 0.014 | 0.017 | 0.022 | 0.017 | 0.024 | 36-pre-7 |
| 0.029 | 0.034 | 0.041 | 0.035 | 0.045 | 39-post-8 |
| 0.016 | 0.020 | 0.028 | 0.020 | 0.028 | 39-pre-9 |
| 0.044 | 0.061 | 0.073 | 0.063 | 0.090 | 42 post-10 |
| 0.067 | 0.079 | 0.105 | 0.087 | 0.108 | #46 pre-10 |
| 0.014 | 0.018 | 0.024 | 0.017 | 0.024 | 43 post-11 |
| 0.027 | 0.039 | 0.043 | 0.036 | 0.044 | 49 pre-11 |
| 0.023 | 0.028 | 0.033 | 0.027 | 0.035 | 46 post-12 |
| 0.023 | 0.027 | 0.036 | 0.027 | 0.036 | 40 pre-12 |
| 0.016 | 0.022 | 0.026 | 0.019 | 0.033 | 49-post-13 |
## Using Sample as id variables